Daniel Giannella‐Neto

2.6k citations
71 papers · 1.8k · h-index 24

Impact in

Papers in

Daniel Giannella‐Neto

69 papers receiving 1.7k citations

Peers

Daniel Giannella‐Neto
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 736
  • Endocrine and Autonomic Systems 99
  • Physiology 376
  • Epidemiology 394
  • Clinical Biochemistry 76
Replace Steven J. Hurel with:
Steven J. Hurel United Kingdom
Ottavia Porzio Italy
Maria Lúcia Corrêa‐Giannella Brazil
David Vicent Spain
Elisabeth Widén Finland
Kohzo Takebayashi Japan
Oliver Blankenstein Germany
Kun‐san Xiang China
Rachel C. Janssen United States
Atsuko Nakatsuka Japan
Daniel Giannella‐Neto relative to Steven J. Hurel United Kingdom Steven J. Hurel's profile →
Citations per field
00.5×1.5×1.8×
Steven J. Hurel · 1×
Citations per year

Countries citing papers authored by Daniel Giannella‐Neto

Since Specialization
Citations

This map shows the geographic impact of Daniel Giannella‐Neto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Giannella‐Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Giannella‐Neto more than expected).

Fields of papers citing papers by Daniel Giannella‐Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Giannella‐Neto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Giannella‐Neto. The network helps show where Daniel Giannella‐Neto may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Giannella‐Neto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Giannella‐Neto Line = papers co-authored together Daniel Giannella‐Neto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002300
2 199194
3 199289
4 201361
5 200959
6 199257
7 200856
8
Effect of fat distribution on the pharmacokinetics of cortisol in obesity.
199856
9 200654
10 200146
11 200640
12 201735
13 201235
14 201433
15 201833
16 200633
17 200629
18 200629
19 201228
20 201627

About Daniel Giannella‐Neto

Daniel Giannella‐Neto is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Physiology, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (15 papers), Pituitary Gland Disorders and Treatments (12 papers), Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (7 papers), Bariatric Surgery and Outcomes (7 papers), Neuroendocrine Tumor Research Advances (7 papers), Advanced Glycation End Products research (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (736 citations), Endocrine and Autonomic Systems (99 citations), Physiology (376 citations), Epidemiology (394 citations) and Clinical Biochemistry (76 citations). Daniel Giannella‐Neto has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include B L Wajchenberg, R. F. Santos, Maria Lúcia Corrêa‐Giannella, Marcello D. Bronstein, James S. Forrester, James A. Fagin, Bojan Cercek, Carlos J. Pirola, Behrooz G. Sharifi and Joel M. Kupfer. Their work appears in journals such as Diabetology & Metabolic Syndrome, Pituitary, Neuroendocrinology, Journal of Clinical Investigation and Diabetes/Metabolism Research and Reviews.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact